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The Intention Behind Web Queries
TLDR
We present a framework for the identification of user’s interest in an automatic way, based on the analysis of query logs. Expand
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Towards a Deeper Understanding of the User’s Query Intent
The identification of the user’s intent behind a web query is considered to be one of the most important challenges for the modern information retrieval systems. Although there have been studies thatExpand
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Analysis of Web Search Engine Query Sessions
TLDR
We apply a systematic data mining process to click data, contrasting non-supervised (Kohonen) and supervised (C4.5) methods to cluster and model the data, in order to identify profiles and rules which relate to theoretical user behavior and user session “quality”. Expand
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Analysis of Web Search Engine Query Session and Clicked Documents
TLDR
The identification of a user's intention or interest by the analysis of the queries submitted to a search engine and the documents selected as answers to these queries, can be very useful to offer more adequate results for that user. Expand
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Scalable multi-dimensional user intent identification using tree structured distributions
TLDR
We present a generic, extensible framework for learning the multi-dimensional representation of user intent from the query words. Expand
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Sentiment polarity classification of tweets using a extended dictionary
TLDR
We proposed an extension of a 68,000 tweets corpus through the inclusion of word definitions from a dictionary of the Real Academia Espa\~{n}ola de la Lengua (RAE) to the set of texts from which sentiment analysis algorithms learn. Expand
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Analysis of Web Search Engine Clicked Documents
TLDR
In this paper we process and analyze Web search engine query and click data from the perspective of the documents (URs) selected. Expand
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Unsupervised Identification of the User’s Query Intent in Web Search
TLDR
This doctoral work focuses on identifying and understanding the intents that motivate a user to perform a search on the Web. Expand
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String Processing and Information Retrieval, 14th International Symposium, SPIRE 2007, Santiago, Chile, October 29-31, 2007, Proceedings
TLDR
A Chaining Algorithm for Mapping cDNA Sequences to Multiple Genomic Sequences.- Edge-Guided Natural Language Text Compression. Expand
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Recommender Systems through Collaborative Filtering
Nowadays, offer more precise and reliable information to users, according with their likes, is a topic which generate great interest not only for the research community but enterprises too.Expand
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